A curated list of trustworthy deep learning papers. Continually updating...
☆395Aug 11, 2026Updated 2 months ago
Alternatives and similar repositories for awesome-trustworthy-deep-learning
Users that are interested in awesome-trustworthy-deep-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆411Aug 18, 2026Updated 2 months ago
- Awesome Machine Unlearning (A Survey of Machine Unlearning)☆975Aug 13, 2026Updated 2 months ago
- Existing Literature about Machine Unlearning☆967Aug 29, 2025Updated last year
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆90Jun 28, 2026Updated 3 months ago
- [ICASSP23] "Visual Prompting for Adversarial Robustness" by Aochuan Chen*, Peter Lorenz*, Yuguang Yao, Pin-Yu Chen, and Sijia Liu☆12Aug 12, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning (ICML 2023)☆19Dec 15, 2023Updated 2 years ago
- An awesome list of papers on privacy attacks against machine learning☆644Mar 18, 2024Updated 2 years ago
- A list of backdoor learning resources☆1,188Jul 31, 2024Updated 2 years ago
- ☆375Oct 8, 2026Updated 2 weeks ago
- 关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记☆1,247Dec 14, 2023Updated 2 years ago
- Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"☆31Oct 1, 2024Updated 2 years ago
- [ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety, fairness, robustness, privacy and ethics. Python/CLI to…☆632Oct 4, 2026Updated 3 weeks ago
- Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models☆839Updated this week
- Robust machine learning for responsible AI☆510Jul 12, 2024Updated 2 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Related papers for robust machine learning☆562May 25, 2023Updated 3 years ago
- A summay of existing works on vertical federated/split learning☆15Nov 28, 2021Updated 4 years ago
- The official Pytorch implementation of paper "FedSoup: Improving Generalization and Personalization in Federated Learning via Selective M…☆18Apr 14, 2024Updated 2 years ago
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆39Jan 13, 2024Updated 2 years ago
- ☆188Apr 22, 2026Updated 6 months ago
- A curated list of papers and resources about the distribution shift in machine learning.☆131Aug 5, 2023Updated 3 years ago
- This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…☆43Mar 22, 2025Updated last year
- Papers and resources related to the security and privacy of LLMs 🤖☆585Jun 8, 2025Updated last year
- A curated list of trustworthy Generative AI papers. Daily updating...☆77Sep 4, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆28May 27, 2025Updated last year
- A curated list of advancements in Vertical Federated Learning, frameworks and libraries.☆40Jul 29, 2025Updated last year
- Identification of the Adversary from a Single Adversarial Example (ICML 2023)☆10Jul 15, 2024Updated 2 years ago
- A resource repository for machine unlearning in large language models☆633Oct 6, 2026Updated 2 weeks ago
- ☆43May 21, 2025Updated last year
- Easy training for Sparse Linear Autoencoders (https://arxiv.org/abs/2309.08600) with data from TransformerLens models.☆12Nov 1, 2023Updated 2 years ago
- Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, boo…☆1,030Apr 3, 2026Updated 6 months ago
- [NeurIPS, 500+ Citations!] Alignment & Safety for multimodal foundation models☆232Updated this week
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆114Jul 10, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- The implementation of Multiplication Convolutional Networks (MCN) in Pytorch.☆22May 17, 2024Updated 2 years ago
- Code for paper "Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion"☆14Mar 28, 2024Updated 2 years ago
- A curated list of awesome papers on dataset distillation and related applications.☆1,977Oct 9, 2026Updated 2 weeks ago
- A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).☆2,091Sep 2, 2026Updated last month
- A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)☆292Jan 11, 2025Updated last year
- [ArXiv 2025] Imperceptible Jailbreaking against Large Language Models☆25Oct 7, 2025Updated last year
- A curated list of papers & resources on backdoor attacks and defenses in deep learning.☆243Mar 15, 2024Updated 2 years ago